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BigML’s mission remains unchanged since its inception: to make Machine Learning easy and beautiful for everyone. As an important milestone in this journey, we are bringing our newest feature, OptiML, to the BigML Dashboard, API, and WhizzML.
Even after you define your Machine Learning problem, collect and pre-process data, and generate relevant features, it can still be very time-consuming and difficult to choose the best algorithm for your problem. For non-experts, this challenge becomes even more pronounced as they have to understand and configure many parameters before they land on an optimal model (often via trial and error), with no indication if they should continue surveying additional options. On the other hand, advanced users also appreciate the time savings resulting from best practice optimization techniques in searching their hypothesis spaces when benchmarking against their own hand-fit models. With BigML, regardless of your previous Machine Learning experience, you can now automatically tune your supervised models to quickly find an optimal model to effectively solve your classification or regression problems. The new OptiML capability listed under our supervised menu on BigML Dashboard enables just that with a single click!
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